Current

Column

Total Recent Precipitation (cm)

Highest Recent Temp. (c)

Lowest Recent Temp. (c)

Recent date range

[1] "From: 2021-06-09"

[1] "To: 2021-07-09"

Column

Recent Precipitation

Monthly Precipation (red diamonds = current yr)

Column

Recent Temperature (dot = daily ave.; lines = period aves.)

Monthly Temperature Comp. (red diamonds = current yr)

Source

Produced by John Yuill
All source code and data used is available in my Github repo:
proj-r-van-weather

Govt of Canada Historical Weather data
Data is collected from:
http://climate.weather.gc.ca/historical_data/search_historic_data_e.html

Data is available from the government on a daily basis and updated occasionally here. ;)

Date range currently covered:

Earliest date: 1970-01-01
Most recent date: 2021-07-09

The following weather stations are represented. Not the preferred approach but I couldn’t find continuous data for any single weather station.

Data Structure

Check data structure and summary:

spec_tbl_df [18,817 × 11] (S3: spec_tbl_df/tbl_df/tbl/data.frame)
 $ Date        : Date[1:18817], format: "1970-01-01" "1970-01-02" ...
 $ Year        : Factor w/ 52 levels "1970","1971",..: 1 1 1 1 1 1 1 1 1 1 ...
 $ Month       : Factor w/ 12 levels "1","2","3","4",..: 1 1 1 1 1 1 1 1 1 1 ...
 $ Day         : num [1:18817] 1 2 3 4 5 6 7 8 9 10 ...
 $ Season      : Factor w/ 4 levels "Winter","Spring",..: 1 1 1 1 1 1 1 1 1 1 ...
 $ Season.Yr   : num [1:18817] 1970 1970 1970 1970 1970 1970 1970 1970 1970 1970 ...
 $ Max.Temp    : num [1:18817] 6.1 2.2 5 2.8 1.7 5.6 3.3 4.4 7.2 5.6 ...
 $ Min.Temp    : num [1:18817] -1.7 0 -1.7 -3.3 -2.8 -1.7 -3.3 0 2.8 -2.8 ...
 $ Mean.Temp   : num [1:18817] 2.2 1.1 1.7 -0.3 -0.6 2 0 2.2 5 1.4 ...
 $ Total.Precip: num [1:18817] 0 1 0.5 0 0 0 0 4.6 6.6 0.5 ...
 $ Station     : chr [1:18817] "VANCOUVER INT'L A" "VANCOUVER INT'L A" "VANCOUVER INT'L A" "VANCOUVER INT'L A" ...
 - attr(*, "spec")=
  .. cols(
  ..   Date = col_date(format = ""),
  ..   Year = col_double(),
  ..   Month = col_double(),
  ..   Day = col_double(),
  ..   Season = col_character(),
  ..   Season.Yr = col_double(),
  ..   Max.Temp = col_double(),
  ..   Min.Temp = col_double(),
  ..   Mean.Temp = col_double(),
  ..   Total.Precip = col_double(),
  ..   Station = col_character()
  .. )

      Date                 Year           Month           Day       
 Min.   :1970-01-01   1972   :  366   1      :1612   Min.   : 1.00  
 1st Qu.:1982-11-18   1976   :  366   3      :1612   1st Qu.: 8.00  
 Median :1995-10-06   1980   :  366   5      :1612   Median :16.00  
 Mean   :1995-10-05   1984   :  366   7      :1590   Mean   :15.72  
 3rd Qu.:2008-08-22   1988   :  366   8      :1581   3rd Qu.:23.00  
 Max.   :2021-07-09   1992   :  366   10     :1581   Max.   :31.00  
                      (Other):16621   (Other):9229                  
    Season       Season.Yr       Max.Temp        Min.Temp      
 Winter:4661   Min.   :1970   Min.   :-8.70   Min.   :-15.200  
 Spring:4784   1st Qu.:1982   1st Qu.: 8.90   1st Qu.:  2.800  
 Summer:4731   Median :1995   Median :13.30   Median :  6.800  
 Fall  :4641   Mean   :1995   Mean   :13.83   Mean   :  6.705  
               3rd Qu.:2008   3rd Qu.:19.00   3rd Qu.: 11.300  
               Max.   :2021   Max.   :34.40   Max.   : 22.400  
                              NA's   :46      NA's   :39       
   Mean.Temp       Total.Precip      Station         
 Min.   :-11.50   Min.   : 0.000   Length:18817      
 1st Qu.:  6.00   1st Qu.: 0.000   Class :character  
 Median : 10.00   Median : 0.000   Mode  :character  
 Mean   : 10.29   Mean   : 3.213                     
 3rd Qu.: 15.20   3rd Qu.: 3.600                     
 Max.   : 28.40   Max.   :91.600                     
 NA's   :48       NA's   :54